Results 91 to 100 of about 1,256,700 (250)
Deep Temporal Graph Clustering [PDF]
Deep graph clustering has recently received significant attention due to its ability to enhance the representation learning capabilities of models in unsupervised scenarios.
Zhou, Sihang +6 more
core +1 more source
Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank
FEBS Open Bio, EarlyView.Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer +7 more
wiley +1 more source
Multi-agent Behaviour Segmentation via Spectral Clustering [PDF]
, 2007 18.02.14 KB. OK to add accepted version to spiral, AAAI permits.We examine the application of spectral clustering for breaking up the behaviour of a multi-agent system in space and time into smaller, independent elements.
Takács, B, Demiris, Y, Butler, S
core
FEBS Open Bio, EarlyView.Human ABCE1 cannot functionally replace its yeast ortholog. Yeast–human chimera analysis identified NBD1 as a major interspecies barrier. Genetic screening yielded hABCE1 revertants that rescue yeast viability but fail to suppress aberrant translation reinitiation in the 3′ UTR.
Eriko Nakata +3 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal state for Lewy body disorders and exhibits biological heterogeneity that may influence clinical expression and progression. We examined clinical features in individuals with iRBD and biomarker‐defined synucleinopathy.
Daniel Weintraub +24 more
wiley +1 more source
Multi-view dual anchor graph fuzzy clustering
Nantong Daxue xuebao. Ziran kexue banIn recent years, with the rapid development of multi-view learning, how to effectively integrate information from different views for clustering analysis has become an important research topic in both academia and industry,driving the emergence of ...
ZHU Chenghao；DING Weiping；ZHANG Wei
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Variants in SLC6A1, encoding the GABA transporter 1 (GAT‐1), cause epilepsy, autism spectrum disorder, and developmental delay via loss of GABA uptake, impaired trafficking, and ER retention. We previously found that 4‐Phenylbutyrate (PBA), an FDA‐approved drug, restores GABA uptake and reduces seizures in SLC6A1‐related disorders ...
Melissa B. DeLeeuw +5 more
wiley +1 more source
Self-supervised graph contrastive learning for scRNA-seq clustering
Journal of Translational MedicineBackground Single-cell RNA sequencing (scRNA-seq) enables characterization of cellular heterogeneity, but accurate and stable clustering remains challenging due to high dimensionality, sparsity, and technical noise.
Tong Wu
doaj +1 more source
ADPSCAN: Structural Graph Clustering with Adaptive Density Peak Selection and Noise Re-Clustering
Applied SciencesStructural graph clustering is a data analysis technique that groups nodes within a graph based on their connectivity and structural similarity. The Structural graph clustering SCAN algorithm, a density-based clustering method, effectively identifies ...
Xinyu Du, Fangfang Li, Xiaohua Li, Ge Yu
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source